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Data Science Entry Jobs in Virginia (NOW HIRING)

We are looking to grow our team and currently have entry to manager level opportunities for Data ... Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Business ...

We are looking to grow our team and currently have entry to manager level opportunities for Data ... Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Business ...

We are looking to grow our team and currently have entry to manager level opportunities for Data ... Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Business ...

We are looking to grow our team and currently have entry to manager level opportunities for Data ... Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Business ...

Bachelor's degree in Health Informatics, Computer Science, Data Analytics, Nursing, or a related ... practice into EHR data entry/management processes. Stakeholder Communication (5+ Years)

New

Strong skills in data entry, reconciliation, and cost reporting. Familiarity with Claris FileMaker ... Bachelor's degree in business, accounting, finance, data science, or related field preferred. High ...

Strong skills in data entry, reconciliation, and cost reporting . * Familiarity with Claris ... Bachelor's degree in business, accounting, finance, data science or related fields (preferred)

Software Engineer (Entry)

Richmond, VA · On-site

$90K - $115K/yr

Who We Are Pattern Data is an AI-powered platform built for the complexities of mass tort ... Bachelor's degree in Computer Science, a related technical discipline, or related practical ...

Software Engineer (Entry)

Richmond, VA · On-site

$90K - $115K/yr

Who We Are Pattern Data is an AI-powered platform built for the complexities of mass tort ... Bachelor's degree in Computer Science, a related technical discipline, or related practical ...

Who We Are Pattern Data is an AI-powered platform built for the complexities of mass tort ... Bachelor's degree in Computer Science, a related technical discipline, or related practical ...

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Showing results 1-20

Data Science Entry information

See Virginia salary details

$10

$19

$28

How much do data science entry jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for data science entry in Virginia is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

Can I work a data entry job with no experience?

Data entry jobs typically require basic computer skills and attention to detail but often do not require prior experience. Many employers offer entry-level positions that provide on-the-job training, making it possible to start without previous experience. Familiarity with tools like spreadsheets and data management software can be helpful.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What are Data Science Entry jobs?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, candidates typically need relevant coursework, projects, or certifications to demonstrate their skills to employers.

What are the key skills and qualifications needed to thrive as an Entry-Level Data Scientist, and why are they important?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

Is 40 too late for data science?

Data science entry-level roles do not have an age limit, and many professionals start careers in their 30s or later. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.
What cities in Virginia are hiring for Data Science Entry jobs? Cities in Virginia with the most Data Science Entry job openings:
Infographic showing various Data Science Entry job openings in Virginia as of June 2026, with employment types broken down into 2% Locum Tenens, 1% As Needed, 64% Full Time, 28% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,157 per year, or $19.3 per hour.
Data Analyst

Full-time

Medical, Retirement

Posted 26 days ago


Job description

Company Description
Acumen Solutions is the trusted leader in Enterprise Cloud Transformation, helping organizations realize dramatic improvements in productivity and profitability through innovations in business and technology. Industry and government leaders including American Express, Comcast, McKesson, the US Army, and the US Securities and Exchange Commission rely on our global consultants to deliver cloud solutions that yield exceptional results. We apply this same focus on results to our unparalleled social responsibility program, generating sustainable impact across our local communities.
As a leading management and technology consulting firm, Acumen Solutions offers a range of challenging and rewarding opportunities whether you're just starting out in your career, looking to advance your career, or seeking a senior leadership position. Acumen Solutions employees are ambitious, committed, passionate problem solvers.
Job Description
We are looking to grow our team and currently have entry to manager level opportunities for Data Analysts in our McLean, VA location. The Data Analyst specializes in collecting, organizing, and analyzing data from various systems.
Specific Duties
  • Develop an in-depth understanding of the interrelationships of data and multiple data domains
  • Create thorough documentation artifacts and maintain same for duration of project
  • Identify and document data migration paths and processes
  • Maintain industry/technical knowledge base and facilitate/maintain industry relationships
  • Demonstrate commitment to providing customer-focused quality service
  • Support assigned systems through transition period
  • Perform other duties as deemed relevant based upon experience to fulfill customer needs
  • Develop and perform standard queries to ensure data quality, identify data inconsistencies, missing data and resolve as needed
  • Standardize data naming, data definitions and modeling
  • Perform data extraction, storage, manipulation, processing, and analysis
  • Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data analysis activities
  • Interpret Customers functional and information needs and turn them into functional or data requirements, process models, etc.

Qualifications
  • Must be willing to travel (35-50%)
  • Must be authorized to work for any U.S. employer
  • 1-5 years of demonstrated experience in data analysis, data manipulation, and decision support
  • Knowledge and application of relational database concepts
  • Experience or exposure to Extract/Transform/Load (ETL) and/or Business Intelligence
  • Strong SQL skills
  • Skilled at completing technical design via iterative mockups
  • High proficiency in MS Office Suite (esp. Word and Excel)
  • Openness to learning new skills and software as necessary
  • Demonstrated ability to manage simultaneous work flows while maintaining quality output and meeting deadlines
  • Demonstrated ability to learn new and exciting technologies with little assistance
  • Experience with ETL tools and procedures (any tool)
  • Prior experience working in the Cloud
  • Strong verbal and written communication skills with demonstrated ability to communicate at different levels of the organization
  • Ability to perform ad-hoc analysis and maintain clear and comprehensive documentation of decision-making, data preparation, and processes
  • High aptitude in analytical and logical thinking
  • Demonstrated experience with data models and data mapping
  • Experience with Unified Modeling Language (UML), including Entity-Relationship Diagrams (ERD), Sequence Diagrams, and Data Flow Diagrams (DFD)
  • Understanding of XML, SQL, Data Modeling Language (DML), and Data Definition Language (DDL)
  • Strong communication skills, both written and spoken
  • Demonstrated ability to produce highly detailed, comprehensive documentation artifacts
  • Client-focused attitude
  • High-level knowledge of enterprise IT organizational, business, and technical environments
  • Ability to analyze processes and recommend improvements as needed Education and Certification
  • Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Business, Mathematics, or other related scientific or technical discipline with two (2) or more years of experience related to this position
  • Exposure to one or more of the following: Informatica, Pentaho, DataStage, Jitterbit, Mulesoft, etc.
  • Relevant IT certifications preferred

Additional Information
Benefits
Acumen Solutions offers the opportunity for growth and advancement, as well as a competitive base salary, annual performance based incentives, medical benefits & 401k.
EOE M/F/V/D
VEVRAA Federal Contractor